{"cells":[{"cell_type":"markdown","metadata":{"id":"LoS8lQ7VLSKg"},"source":["# Urban Heat Analysis Downscaling\n","\n","Jason Zhang\n","\n","This code employs Google Earth Engine (GEE) and downscaling to obtain a finer image of Land surface Temperature (LST) data. This code utilizes the Normalized Difference Vegetation Index (NDVI) along with Normalized Difference Built-Up Index (NDBI) and Noramlized Difference Water Index (NDWI) to downscale LST data. By combining high-resolution Sentinel-2 imagery with thermal data from Landsat 8, the study enhances the spatial resolution of surface temperature maps.\n","\n","## Required Packages\n","\n","Ensure that you have Earth Engine, geemap, sklearn, numpy, and matplotlib. This code runs on Python 3.12."]},{"cell_type":"code","execution_count":null,"metadata":{"id":"iLQpiVc0pcWZ","colab":{"base_uri":"https://localhost:8080/","height":34},"executionInfo":{"status":"ok","timestamp":1740362452496,"user_tz":300,"elapsed":19878,"user":{"displayName":"TeamMcPro","userId":"15171345446647417487"}},"outputId":"2ead2643-df20-484f-c407-f6eb532684e7"},"outputs":[{"output_type":"stream","name":"stdout","text":["\u001b[?25l   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.0/1.6 MB\u001b[0m \u001b[31m?\u001b[0m eta \u001b[36m-:--:--\u001b[0m\r\u001b[2K   \u001b[91m━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.3/1.6 MB\u001b[0m \u001b[31m8.1 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━\u001b[0m \u001b[32m1.4/1.6 MB\u001b[0m \u001b[31m19.8 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.6/1.6 MB\u001b[0m \u001b[31m14.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n","\u001b[?25h"]}],"source":["!pip install -q earthengine-api\n","# This installs the Google Earth Engine (GEE) API, which is used for interacting with Earth Engine datasets.\n","\n","!pip install -q geemap\n","# This installs the geemap library, which is a Python package for interactive mapping and analysis with Google Earth Engine.\n","\n","import ee\n","# Imports the Earth Engine API, allowing you to access and process remote sensing data.\n","\n","import geemap\n","# Imports the geemap library, which simplifies the process of visualizing and analyzing geospatial data in Google Earth Engine."]},{"cell_type":"markdown","source":["To run this code, enter a valid `ee-project` into the `project=''` field below."],"metadata":{"id":"obA0OcSNqH5Z"}},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":17},"executionInfo":{"elapsed":15228,"status":"ok","timestamp":1740363357691,"user":{"displayName":"TeamMcPro","userId":"15171345446647417487"},"user_tz":300},"id":"m7Nqg3TzpxYM","outputId":"b0fe3eb9-d46c-4a93-e473-0a75cecc0fc1"},"outputs":[{"output_type":"display_data","data":{"text/plain":["<IPython.core.display.HTML object>"],"text/html":["\n","            <style>\n","                .geemap-dark {\n","                    --jp-widgets-color: white;\n","                    --jp-widgets-label-color: white;\n","                    --jp-ui-font-color1: white;\n","                    --jp-layout-color2: #454545;\n","                    background-color: #383838;\n","                }\n","\n","                .geemap-dark .jupyter-button {\n","                    --jp-layout-color3: #383838;\n","                }\n","\n","                .geemap-colab {\n","                    background-color: var(--colab-primary-surface-color, white);\n","                }\n","\n","                .geemap-colab .jupyter-button {\n","                    --jp-layout-color3: var(--colab-primary-surface-color, white);\n","                }\n","            </style>\n","            "]},"metadata":{}}],"source":["# Authenticate and initialize Earth Engine\n","ee.Authenticate()\n","ee.Initialize(project='') # insert your personal project name here"]},{"cell_type":"markdown","source":["This block of code defines the region of interest (ROI) for the Los Angeles metropolitan area using a bounding box and loads satellite data from Landsat 8 and Sentinel-2. `ST_B10` data is collected, and then the code filters out any potential clouds. Additionally, other bands are ued to find the NDVI. A map is created to visualize the NDVI data and LST data."],"metadata":{"id":"qlw3X3RZJcqq"}},{"cell_type":"code","execution_count":null,"metadata":{"id":"VJiXJ3jap6sN","colab":{"base_uri":"https://localhost:8080/","height":638,"referenced_widgets":["d492145f65b94df5af78bb8742ef9031","70ed943ca7974e19914a61902d0c9e4e","b12d58e418f8412086f67eaded424e28","6f8a82497b084068bdfa208a5e5ca30e","72e8c043362b41ea98d8333683e90d30","b562a865c76a45fdae4c21eea734cfcb","d33ffe3bd00d449393ffe728646a3e42","2eda49b3a8fe4bc7a1e656a5e61e0f77","cd5b47a1dcc0499bbc1c2643c4d54dc5","aa44bc84627f4fc3bfb55a5806ba4e02","78dcc201cef64a6e996c9f969f1531b8","d6ad482b8c4b48ada6aa64aab6a2a37b","8e1f7dceeee6498aba5bb9e04eaed803","ffb5d7fa828f4986b3c9dac5c5b4625a","94d83356f3c548dc983736c2935cc82f","27df1983a71943c1837d7b5abe3a3364","767148052171487781951f1288d5bc70","51063f81ed1e43a7bfd0df7821ac892b","63038e4358844bbf96093a0c59cd5341","86fca12a84c94fc38c839c0982dc7495","a89709f59d5149d7b3acd38348dda705","454b7bdda7b24732ac0afd92fc4c96e5","e44a2331889f467f8015fbc09e0de37f","40bcf231ba4f427d8588dee58e2152a5","9da4526cf66d436588e7e5b3ad0cf164","8cbc2947686041f78f78eecde55badeb","706965753a504b9b8f122869cfce00b6","f012ec106a2a42369d0a35200f6b2372","0e224c9453e24783bb846599f9e3e3a6","9f2c5ce86dc84a8b84ac2b1186295a6f","84dd77c58c1e452b95a1cefb692ad94e","1ed5d94fbfd543189bf9252103a16865","c3d274ec5b0f4a3b89a8d029787d7ac9","146b2beda60547cd92ca70ba88c6e7ed","148443f3cfa746a5bb0fc5770c02e691","34de30565d704e18a34a3894ec1119a8","5571736c2e354ad0bb4e9e57e0804ee8","25bb6b22b715478eb72f741dee8d80c0","f0fc841615564ef59f109b0b18b1fcd8","1b5ab87742354702bf81aa2036fefc13","fe9bd21e86c94fd9b81f21c44c63202a","46749c8d1d8f40758005acf8ffcd6c86","1391fd3d011c41948241f6bb2533cade","1b3ae606195945619cfa77f99297e883","36afc07ed0b247609ca52bd2984b077a","666dd43679d648498e0b745f6e76a27e","656327f288df49b7ae76f73c12fc3b89","598b2638bb684e03848eb60be48b0738","7b7327a75a2e47979f1e2f60ea8a3385","83175cc559c34817836a1df5dc6675f1","868d8ffe55404f83b00a187d9ff8df89","6ea139be2a0443e89dbef0f1799503f6","4cf23ac001194479b76653b2ea173a51","1378891ca8074399aadd391e49a96e3c","74a07ec99ae54499b5f26dda45a3458f","252083727cc843c4b7a590c4da6d0410","6d27653901ed4933accea1188efcfb92","26963f3b486d4bb7be5a5c3bc1dc48a2","6df0774e24e5460aacf1f8771d65c8f5","3c5e1b9107c94e33990382567e937ba2","f69f23541ac84b069ca230199fcff640","66def291bc1645b0b53d84f0c674788d","498959b57649456aaae3635e8918c774","59b625787b394f1b83d5f72f117928f2","d29ead4619954a4a84f58b2ed4c6960c","3634953d749045a5bb833a67f586b2fc","4ac474f43f294c428cd2ffa00076e9f5","5f6c81a3d6b7447888176cca4bd1b415","7cf326a79a2f4b5b822b630aad47edb9","1e6792e89c554498a013aa1bbe8916da","0337df8c02764938a95b080ed7545105","7e361d489b704128877a0a3ba55c6970","9ed2e09097744878bb9d12277f5db421","64e278c96d3b48ffb704b25dea5d47f0","8022d3d29c97408b99e944433384009a","326576214808475283d1dac535eeb8d3","995c1c362d1a4375bba1382b881831d2","bf1a7292e8eb4719b86181248d9308cb","21b03e5651d04c4b8ef30cfbfc40e3c8","711d844abd4642c28bd559cb18b3ad5a","f74c2662a8ed4e368ed492ae20b39ed9","fa86d0c2f5ba4287aefe044ab018995d","2f9c316ea608474c91cca057e4f22c67","749e095eb67a402da2719d0436640b59","aefc11d2f135439ead66e9435d7e3a0c","28493f7e3b634957b219ed2a23d96457","b25c8981e21c4f0c8fc15fceec77bd7a","abcd3ac6243b4096b4d89b4acaf59aff","ef0d797fbee347b4bbebaffda9b37151","a517b343b2eb49a4be747adff113f0fe","b10316f5b117423bbf6aef2aa8bea331","da85c67afa9748f1a395a3b246e15d72","9dbaff2ba48e46808abf147b2bcd8fb5","592d8b1b149a411e81cd7a92e585e11e","8f592592fc524452b501dcc27e6ec15e","c297d479251c4e6f8798f0e061bfcfbe"]},"executionInfo":{"status":"ok","timestamp":1740363518575,"user_tz":300,"elapsed":2494,"user":{"displayName":"TeamMcPro","userId":"15171345446647417487"}},"outputId":"adc7ebb1-3a64-4cfe-b88c-7b81d3e9e473"},"outputs":[{"output_type":"display_data","data":{"text/plain":["<IPython.core.display.HTML object>"],"text/html":["\n","            <style>\n","                .geemap-dark {\n","                    --jp-widgets-color: white;\n","                    --jp-widgets-label-color: white;\n","                    --jp-ui-font-color1: white;\n","                    --jp-layout-color2: #454545;\n","                    background-color: #383838;\n","                }\n","\n","                .geemap-dark .jupyter-button {\n","                    --jp-layout-color3: #383838;\n","                }\n","\n","                .geemap-colab {\n","                    background-color: var(--colab-primary-surface-color, white);\n","                }\n","\n","                .geemap-colab .jupyter-button {\n","                    --jp-layout-color3: var(--colab-primary-surface-color, white);\n","                }\n","            </style>\n","            "]},"metadata":{}},{"output_type":"stream","name":"stdout","text":["Most recent Landsat image date: 2024-12-22\n"]},{"output_type":"display_data","data":{"text/plain":["Map(center=[39.096764974942054, -77.61084937783149], controls=(WidgetControl(options=['position', 'transparent…"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"d492145f65b94df5af78bb8742ef9031"}},"metadata":{"application/vnd.jupyter.widget-view+json":{"colab":{"custom_widget_manager":{"url":"https://ssl.gstatic.com/colaboratory-static/widgets/colab-cdn-widget-manager/2b70e893a8ba7c0f/manager.min.js"}}}}}],"source":["# Define the bounding box\n","roi = ee.Geometry.Rectangle([-77.93, 38.7985, -77.45, 39.3550])\n","sdate = '2023-01-01' # Adjust dates as needed\n","edate = '2024-12-31' # Note that the code will try to find a date as close to edate as possible while still being in the sdate to edate range.\n","\n","# requires different start and end date\n","sent2sdate = '2024-07-01'\n","sent2edate = '2024-08-10'\n","\n","# Load Landsat 8 Collection 2 Level 2 Surface Temperature data (ST_B10)\n","landsat_collection = ee.ImageCollection('LANDSAT/LC08/C02/T1_L2') \\\n","                        .filterBounds(roi) \\\n","                        .filterDate(sdate, edate)\n","\n","# Function to apply cloud masking for Landsat 8\n","def mask_landsat_clouds(image):\n","    qa_pixel = image.select('QA_PIXEL')\n","    cloud_mask = qa_pixel.bitwiseAnd(1 << 3).eq(0)\n","    return image.updateMask(cloud_mask)\n","\n","landsat_collection = landsat_collection.map(mask_landsat_clouds)\n","\n","most_recent_image = landsat_collection.sort('system:time_start', False).first()\n","\n","# Print metadata (e.g., acquisition date)\n","image_date = ee.Date(most_recent_image.get('system:time_start')).format('YYYY-MM-dd').getInfo()\n","print(f\"Most recent Landsat image date: {image_date}\")\n","\n","# Select the thermal band (B10)\n","landsat_thermal = landsat_collection.select('ST_B10').median()\n","\n","# Convert from Kelvin to Celsius\n","lst_celsius = landsat_thermal.multiply(0.00341802).add(149).subtract(273.15)\n","\n","# Visualization parameters\n","lst_vis_params = {\n","    'min': -20,\n","    'max': 50,\n","    'palette': ['blue', 'cyan', 'green', 'yellow', 'red']\n","}\n","\n","s2_collection = ee.ImageCollection('COPERNICUS/S2') \\\n","                    .filterBounds(roi) \\\n","                    .filterDate(sent2sdate, sent2edate) \\\n","                    .filter(ee.Filter.lt('CLOUDY_PIXEL_PERCENTAGE', 10))\n","\n","# Select bands for NDVI calculation\n","s2_image = s2_collection.median()\n","ndvi = s2_image.normalizedDifference(['B8', 'B4']).rename('NDVI')\n","\n","ndvi_vis_params = {\n","    'min': -0.5,\n","    'max': 1,\n","    'palette': ['brown', 'yellow', 'green']\n","}\n","\n","Map = geemap.Map(center=[39.096764974942054, -77.61084937783149], zoom=10)\n","\n","# Remove all default layers (basemaps or any others)\n","Map.clear_layers()\n","Map.add_basemap('SATELLITE')\n","\n","# Visualize Sentinel-2 NDVI\n","Map.addLayer(ndvi, ndvi_vis_params, 'Sentinel-2 NDVI')\n","\n","ndvi_legend = {\n","    'title': 'Land Cover Types (NDVI)',\n","    'categories': [\n","        {'color': 'brown', 'label': 'Low Vegetation/Non-Vegetated (-0.5 to 0)'},\n","        {'color': 'yellow', 'label': 'Sparse Vegetation (0 to 0.5)'},\n","        {'color': 'green', 'label': 'Moderate to Dense Vegetation (0.5 to 1)'}\n","    ]\n","}\n","\n","Map.add_colorbar(ndvi_vis_params, label=\"Land Cover Types (NDVI)\", position='bottomright')\n","\n","Map.addLayer(lst_celsius, lst_vis_params, 'LandSat LST (°C)')\n","\n","Map.add_colorbar(lst_vis_params, label='LandSat LST (°C)', position='bottomright')\n","\n","# Display the map\n","Map"]},{"cell_type":"markdown","source":["The masked (LST and NDVI) data is aggregated and scatter plots are created to visualize the relationship between the NDVI and LST. A linear fit is performed on the scatter plot, although this does not produce many useful results. Other ways of predicting data can also be used by adding another seperate line or set of data points."],"metadata":{"id":"OzsxE5n3KPJN"}},{"cell_type":"code","source":["# Reproject NDVI to match the Sentinel-3 resolution (1000m)\n","ndvi_resampled = ndvi.reproject(crs=ee.Projection('EPSG:4326'), scale=1000).clip(roi)\n","\n","\n","# Aggregate NDVI to 1000m resolution\n","ndvi_aggregated = ndvi_resampled.reduceResolution(\n","    reducer=ee.Reducer.mean(),\n","    bestEffort=True,\n","    maxPixels=1024\n",").reproject(crs=lst_celsius.projection(), scale=1000)\n","\n","# Select only the thermal band from Sentinel-3 (in Celsius) and clip to the ROI\n","thermal_image = lst_celsius.clip(roi)\n","\n","# Mask out pixels where MODIS data is not available (MODIS LST data has no values)\n","valid_mask = thermal_image.mask().And(ndvi_aggregated.mask())\n","\n","ndvi_masked = ndvi_aggregated.updateMask(valid_mask)\n","thermal_masked = thermal_image.updateMask(valid_mask)\n","\n","combined_image = ndvi_masked.addBands(thermal_masked)\n","\n","# Sample the combined image (NDVI and Thermal) to extract pixel values\n","sampled_points = combined_image.sample(\n","    region=roi,\n","    scale=1000,\n","    numPixels=1e9,\n","    geometries=False  # No need to include geometries (optional)\n",")\n","\n","# Get NDVI and Thermal (LST) as separate lists\n","ndvi_list = sampled_points.aggregate_array('NDVI').getInfo()\n","thermal_list = sampled_points.aggregate_array('ST_B10').getInfo()\n","\n","import matplotlib.pyplot as plt\n","import numpy as np\n","\n","# Convert lists to numpy arrays\n","ndvi_values = np.array(ndvi_list)\n","thermal_values = np.array(thermal_list)\n","\n","# Scatter plot of NDVI vs Thermal values\n","plt.figure(figsize=(8, 6))\n","plt.scatter(ndvi_values, thermal_values, color='blue', label='Data Points')\n","\n","# Perform a linear fit\n","slope, intercept = np.polyfit(ndvi_values, thermal_values, 1)\n","\n","# Plot the linear fit line\n","plt.plot(ndvi_values, slope * ndvi_values + intercept, color='red', label=f'Fit: y = {slope:.2f}x + {intercept:.2f}')\n","\n","# Add labels and title\n","plt.xlabel('NDVI')\n","plt.ylabel('Thermal Temperature (°C)')\n","plt.title('Linear Relationship between Masked NDVI and Thermal Values')\n","plt.legend()\n","plt.grid(True)\n","\n","# Show the plot\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":564},"id":"_VmDrSQ_mOTu","outputId":"fa3ce49b-de87-4cb6-ceef-a7d73bb95982","executionInfo":{"status":"ok","timestamp":1740363540870,"user_tz":300,"elapsed":13478,"user":{"displayName":"TeamMcPro","userId":"15171345446647417487"}}},"execution_count":null,"outputs":[{"output_type":"display_data","data":{"text/plain":["<IPython.core.display.HTML object>"],"text/html":["\n","            <style>\n","                .geemap-dark {\n","                    --jp-widgets-color: white;\n","                    --jp-widgets-label-color: white;\n","                    --jp-ui-font-color1: 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\n"},"metadata":{}}]},{"cell_type":"markdown","source":["This part employes machine learning (specifically a random forest model) to predict LST data. The predicted data is plotted onto the scatter plot as previously specified. More specifically, the `y_pred` variable is the result of the random forest prediction after training and is added to the scatter plot."],"metadata":{"id":"j_s9gcg7oVXm"}},{"cell_type":"code","source":["# Import required libraries for machine learning\n","import numpy as np\n","import matplotlib.pyplot as plt\n","from sklearn.model_selection import train_test_split\n","from sklearn.ensemble import RandomForestRegressor\n","from sklearn.metrics import mean_squared_error, r2_score\n","\n","# Sample the combined NDVI and Thermal image to extract pixel values\n","sampled_points = combined_image.sample(\n","    region=roi,\n","    scale=1000,\n","    numPixels=1e9,  # Limit the number of pixels\n","    geometries=False\n",")\n","\n","ndvi_list = sampled_points.aggregate_array('NDVI').getInfo()\n","thermal_list = sampled_points.aggregate_array('ST_B10').getInfo()\n","\n","# Convert lists to numpy arrays\n","ndvi_values = np.array(ndvi_list).reshape(-1, 1)  # Reshape for scikit-learn\n","thermal_values = np.array(thermal_list)\n","\n","# Split the data into training and testing sets\n","X_train, X_test, y_train, y_test = train_test_split(ndvi_values, thermal_values, test_size=0.2, random_state=42)\n","\n","# Train a Random Forest Regressor model\n","model = RandomForestRegressor(n_estimators=100, random_state=42)\n","model.fit(X_train, y_train)\n","\n","# Make predictions on the test set\n","y_pred = model.predict(X_test)\n","\n","# Evaluate the model\n","mse = mean_squared_error(y_test, y_pred)\n","r2 = r2_score(y_test, y_pred)\n","\n","print(f\"Mean Squared Error: {mse}\")\n","print(f\"R-squared: {r2}\")\n","\n","# Plot the predictions vs actual data\n","plt.figure(figsize=(8, 6))\n","plt.scatter(X_test, y_test, color='blue', label='Actual Data')\n","plt.scatter(X_test, y_pred, color='red', label='Predicted Data')\n","plt.title('Random Forest Prediction: NDVI vs Thermal Values')\n","plt.xlabel('NDVI')\n","plt.ylabel('Thermal Temperature (°C)')\n","plt.legend()\n","plt.grid(True)\n","plt.show()\n","\n","# If you want to make predictions for the entire region:\n","ndvi_all = np.array(ndvi_list).reshape(-1, 1)  # Use the entire NDVI dataset for prediction\n","predicted_lst = model.predict(ndvi_all)\n","\n","# Visualize the relationship between NDVI and predicted LST (optional)\n","plt.figure(figsize=(8, 6))\n","plt.scatter(ndvi_all, predicted_lst, color='green', label='Predicted LST')\n","plt.title('Random Forest: NDVI vs Predicted LST')\n","plt.xlabel('NDVI')\n","plt.ylabel('Predicted LST (°C)')\n","plt.legend()\n","plt.grid(True)\n","plt.show()\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000},"id":"Cmkco0vtweT9","executionInfo":{"status":"ok","timestamp":1740363549237,"user_tz":300,"elapsed":4814,"user":{"displayName":"TeamMcPro","userId":"15171345446647417487"}},"outputId":"a79a2dc6-90c8-495f-a26e-11a0f7d1a4b0"},"execution_count":null,"outputs":[{"output_type":"display_data","data":{"text/plain":["<IPython.core.display.HTML object>"],"text/html":["\n","            <style>\n","                .geemap-dark {\n","                    --jp-widgets-color: white;\n","                    --jp-widgets-label-color: white;\n","                    --jp-ui-font-color1: white;\n","                    --jp-layout-color2: #454545;\n","                    background-color: #383838;\n","                }\n","\n","                .geemap-dark .jupyter-button {\n","                    --jp-layout-color3: #383838;\n","                }\n","\n","                .geemap-colab {\n","                    background-color: var(--colab-primary-surface-color, white);\n","                }\n","\n","                .geemap-colab .jupyter-button {\n","                    --jp-layout-color3: var(--colab-primary-surface-color, white);\n","                }\n","            </style>\n","            "]},"metadata":{}},{"output_type":"stream","name":"stdout","text":["Mean Squared Error: 4.2676761431441586\n","R-squared: 0.16397721287208056\n"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 800x600 with 1 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\n"},"metadata":{}}]},{"cell_type":"markdown","source":["The code below accoutns for NDVI, NDBI, and NDWI to downscale the LST and plot it onto a `geemap`. This also uses a random forest model with hyperparameters of 200 trees. The right side of the map is downscaled LST data, and the left side is regular data."],"metadata":{"id":"Qyb2Ij4Mo29s"}},{"cell_type":"code","source":["# Define the region of interest (ROI)\n","roi = ee.Geometry.Rectangle([-77.93, 38.7985, -77.45, 39.3550])\n","\n","# Calculate NDVI\n","ndvi = s2_image.normalizedDifference(['B8', 'B4']).rename('NDVI')\n","\n","# Calculate NDBI\n","ndbi = s2_image.normalizedDifference(['B11', 'B8']).rename('NDBI')\n","\n","# Calculate NDWI\n","ndwi = s2_image.normalizedDifference(['B3', 'B8']).rename('NDWI')\n","\n","# Select original spectral bands (surface reflectance)\n","bands = ['B2', 'B3', 'B4', 'B8', 'B11', 'B12']  # Blue, Green, Red, NIR, SWIR1, SWIR2\n","\n","# Combine all features into one image\n","input_features_image = s2_image.select(bands).addBands([ndvi, ndbi, ndwi])\n","\n","# !!!IMPORTANT!!!\n","# Load and process LST data (assuming lst_celsius is already defined and aligned)\n","# If not, you should load your LST data here and preprocess it to match the Sentinel-2 data\n","\n","lst_celsius = lst_celsius.clip(roi)\n","\n","# Combine input features and LST for training\n","training_image = input_features_image.addBands(lst_celsius)\n","\n","# Extract sample points from the training image\n","sample_points = training_image.sample(\n","    region=roi,\n","    scale=100,  # larger than the smallest resolution, which is the Sentinel-2 resolution\n","    numPixels=5000,  # Increase number of samples for better training\n","    seed=42,\n","    geometries=True\n",")\n","\n","# Add a random column for splitting into training and validation sets\n","sample_points = sample_points.randomColumn('random')\n","\n","# Split into training and validation sets\n","training_set = sample_points.filter(ee.Filter.lt('random', 0.7))\n","validation_set = sample_points.filter(ee.Filter.gte('random', 0.7))\n","\n","input_features = bands + ['NDVI', 'NDBI', 'NDWI']\n","label = 'ST_B10'\n","\n","# Train the Random Forest regression model in GEE\n","regressor = ee.Classifier.smileRandomForest(\n","    numberOfTrees=200,   # Increase number of trees\n","    # Only valid parameters are used here\n",").setOutputMode('REGRESSION').train(\n","    features=training_set,\n","    classProperty=label,\n","    inputProperties=input_features\n",")\n","\n","# Apply the model to the entire input features image\n","downscaled_temperature = input_features_image.classify(regressor).rename('Predicted_LST')\n","\n","# Visualization parameters for the LST\n","lst_vis_params = {\n","    'min': -20,\n","    'max': 50,\n","    'palette': ['blue', 'cyan', 'green', 'yellow', 'red']\n","}\n","\n","# Add the first LST layer to map1\n","left_layer = geemap.ee_tile_layer(lst_celsius, lst_vis_params,'Local Temperature (Celsius)')\n","\n","# Add the second LST layer to map2\n","right_layer = geemap.ee_tile_layer(downscaled_temperature, lst_vis_params, 'Downscaled LST (Random Forest)')\n","\n","# Create a map\n","Map = geemap.Map(center=[39.096764974942054, -77.61084937783149], zoom=10)\n","# Remove all default layers (basemaps or any others)\n","Map.clear_layers()\n","Map.add_basemap('SATELLITE')\n","Map.split_map(left_layer, right_layer)\n","Map # Display the map"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":621,"referenced_widgets":["7421ed049c074257a2cb4522050a1d65","64c33b3a579e43b48c54febd73fb42b2","98dd7ae0dbae4f58a9a649fcfe4b543d","dcf9e2e01cc346fa87ec12f39eb3da9b","000a72195a404f0a85a96dd45f719bfb","fa9fe6b5c3644123a1a8449d71999f4f","29c7d4a639ba492faff138ebc6dfaaec","5157c770aefb43c5831f27d82c962039","cc0f73b9a5f641fb8a48c53f1e132a2c","795ec8d4bcb348e1aeceb5f62b5afd70","bca6f382f4ca44b099283b2f61df78b3","763ba419148846009279fa37735f2dfb"]},"id":"QYIykfjyqUyF","executionInfo":{"status":"ok","timestamp":1740363566009,"user_tz":300,"elapsed":11172,"user":{"displayName":"TeamMcPro","userId":"15171345446647417487"}},"outputId":"c1f1f614-4259-4e9b-a033-1c0530e43d05"},"execution_count":null,"outputs":[{"output_type":"display_data","data":{"text/plain":["<IPython.core.display.HTML object>"],"text/html":["\n","            <style>\n","                .geemap-dark {\n","                    --jp-widgets-color: white;\n","                    --jp-widgets-label-color: white;\n","                    --jp-ui-font-color1: white;\n","                    --jp-layout-color2: #454545;\n","                    background-color: #383838;\n","                }\n","\n","                .geemap-dark .jupyter-button {\n","                    --jp-layout-color3: #383838;\n","                }\n","\n","                .geemap-colab {\n","                    background-color: var(--colab-primary-surface-color, white);\n","                }\n","\n","                .geemap-colab .jupyter-button {\n","                    --jp-layout-color3: var(--colab-primary-surface-color, white);\n","                }\n","            </style>\n","            "]},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["Map(center=[39.096764974942054, -77.61084937783149], controls=(ZoomControl(options=['position', 'zoom_in_text'…"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"7421ed049c074257a2cb4522050a1d65"}},"metadata":{"application/vnd.jupyter.widget-view+json":{"colab":{"custom_widget_manager":{"url":"https://ssl.gstatic.com/colaboratory-static/widgets/colab-cdn-widget-manager/2b70e893a8ba7c0f/manager.min.js"}}}}}]},{"cell_type":"markdown","source":["## Acknowledgements\n","\n","This code is heavily adopted from Dr. Bo Zhao's code on downscaling UHI data in LA. His contributions served as a valuable starting point, and I have modified the original code to develop my own implementation. I truly appreciate his insights and the influence his work has had on this project.\n","\n"],"metadata":{"id":"yCoCf3OzwVlp"}}],"metadata":{"colab":{"provenance":[{"file_id":"1weeEGwfX7etG61LPUFsgvSYoOoFm5Ov0","timestamp":1738906790225},{"file_id":"1o-UrNAThV8nIN4s27Hgzz6HXqxS95mm6","timestamp":1723368616643}]},"kernelspec":{"display_name":"Python 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